{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.1.2'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "pd.__version__  # for the record"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252, 9)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
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       "      <th>LowerB</th>\n",
       "      <th>PercentB</th>\n",
       "    </tr>\n",
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       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-07-01</th>\n",
       "      <td>132.089996</td>\n",
       "      <td>134.100006</td>\n",
       "      <td>131.779999</td>\n",
       "      <td>133.919998</td>\n",
       "      <td>117.161659</td>\n",
       "      <td>202385700</td>\n",
       "      <td>132.373927</td>\n",
       "      <td>125.316073</td>\n",
       "      <td>1.219057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-05</th>\n",
       "      <td>133.779999</td>\n",
       "      <td>134.080002</td>\n",
       "      <td>133.389999</td>\n",
       "      <td>133.809998</td>\n",
       "      <td>117.065437</td>\n",
       "      <td>165936000</td>\n",
       "      <td>133.254297</td>\n",
       "      <td>124.912703</td>\n",
       "      <td>1.066618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-06</th>\n",
       "      <td>133.490005</td>\n",
       "      <td>134.139999</td>\n",
       "      <td>133.110001</td>\n",
       "      <td>133.970001</td>\n",
       "      <td>117.205429</td>\n",
       "      <td>143331600</td>\n",
       "      <td>134.040915</td>\n",
       "      <td>124.627085</td>\n",
       "      <td>0.992467</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2011-07-01  132.089996  134.100006  131.779999  133.919998  117.161659   \n",
       "2011-07-05  133.779999  134.080002  133.389999  133.809998  117.065437   \n",
       "2011-07-06  133.490005  134.139999  133.110001  133.970001  117.205429   \n",
       "\n",
       "               Volume      UpperB      LowerB  PercentB  \n",
       "Date                                                     \n",
       "2011-07-01  202385700  132.373927  125.316073  1.219057  \n",
       "2011-07-05  165936000  133.254297  124.912703  1.066618  \n",
       "2011-07-06  143331600  134.040915  124.627085  0.992467  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
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       "      <th>PercentB</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-06-27</th>\n",
       "      <td>132.419998</td>\n",
       "      <td>133.429993</td>\n",
       "      <td>131.970001</td>\n",
       "      <td>133.169998</td>\n",
       "      <td>118.980804</td>\n",
       "      <td>108088000</td>\n",
       "      <td>136.447962</td>\n",
       "      <td>128.140042</td>\n",
       "      <td>0.605441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-28</th>\n",
       "      <td>132.289993</td>\n",
       "      <td>132.990005</td>\n",
       "      <td>131.279999</td>\n",
       "      <td>132.789993</td>\n",
       "      <td>118.641281</td>\n",
       "      <td>169242100</td>\n",
       "      <td>136.500761</td>\n",
       "      <td>128.219241</td>\n",
       "      <td>0.551922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-29</th>\n",
       "      <td>135.199997</td>\n",
       "      <td>136.270004</td>\n",
       "      <td>134.850006</td>\n",
       "      <td>136.100006</td>\n",
       "      <td>121.598610</td>\n",
       "      <td>212250900</td>\n",
       "      <td>136.721010</td>\n",
       "      <td>128.792993</td>\n",
       "      <td>0.921670</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2012-06-27  132.419998  133.429993  131.970001  133.169998  118.980804   \n",
       "2012-06-28  132.289993  132.990005  131.279999  132.789993  118.641281   \n",
       "2012-06-29  135.199997  136.270004  134.850006  136.100006  121.598610   \n",
       "\n",
       "               Volume      UpperB      LowerB  PercentB  \n",
       "Date                                                     \n",
       "2012-06-27  108088000  136.447962  128.140042  0.605441  \n",
       "2012-06-28  169242100  136.500761  128.219241  0.551922  \n",
       "2012-06-29  212250900  136.721010  128.792993  0.921670  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idf = pd.read_csv('../../data/SPY_20110701_20120630_Bollinger.csv',index_col=0,parse_dates=True)\n",
    "#df = df.loc['2012-01-01':,:]\n",
    "idf.shape\n",
    "idf.head(3)\n",
    "idf.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "pedf = pd.read_csv('../../../../pffap/data/indu_px_last_1989-2018.csv',index_col=0,parse_dates=True)\n",
    "pedf.columns = [x.split()[0] for x in pedf.columns]\n",
    "pedf = pedf.iloc[-144:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
       "      <th>CVX</th>\n",
       "      <th>DIS</th>\n",
       "      <th>DWDP</th>\n",
       "      <th>GS</th>\n",
       "      <th>HD</th>\n",
       "      <th>...</th>\n",
       "      <th>PG</th>\n",
       "      <th>TRV</th>\n",
       "      <th>UNH</th>\n",
       "      <th>UTX</th>\n",
       "      <th>V</th>\n",
       "      <th>VZ</th>\n",
       "      <th>WBA</th>\n",
       "      <th>WMT</th>\n",
       "      <th>XOM</th>\n",
       "      <th>INDU</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-01-31</th>\n",
       "      <td>12.2471</td>\n",
       "      <td>58.22</td>\n",
       "      <td>89.56</td>\n",
       "      <td>64.07</td>\n",
       "      <td>26.59</td>\n",
       "      <td>72.88</td>\n",
       "      <td>34.7024</td>\n",
       "      <td>27.9274</td>\n",
       "      <td>212.16</td>\n",
       "      <td>40.74</td>\n",
       "      <td>...</td>\n",
       "      <td>64.87</td>\n",
       "      <td>50.85</td>\n",
       "      <td>52.26</td>\n",
       "      <td>68.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.8322</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.69</td>\n",
       "      <td>74.10</td>\n",
       "      <td>12621.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-02-28</th>\n",
       "      <td>12.0871</td>\n",
       "      <td>56.87</td>\n",
       "      <td>87.27</td>\n",
       "      <td>64.42</td>\n",
       "      <td>25.94</td>\n",
       "      <td>68.61</td>\n",
       "      <td>33.8045</td>\n",
       "      <td>29.4468</td>\n",
       "      <td>201.60</td>\n",
       "      <td>39.60</td>\n",
       "      <td>...</td>\n",
       "      <td>63.49</td>\n",
       "      <td>50.76</td>\n",
       "      <td>52.20</td>\n",
       "      <td>65.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.8182</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.30</td>\n",
       "      <td>71.68</td>\n",
       "      <td>12268.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-03-30</th>\n",
       "      <td>13.2729</td>\n",
       "      <td>56.40</td>\n",
       "      <td>88.91</td>\n",
       "      <td>67.03</td>\n",
       "      <td>25.53</td>\n",
       "      <td>73.96</td>\n",
       "      <td>33.9722</td>\n",
       "      <td>30.8318</td>\n",
       "      <td>206.63</td>\n",
       "      <td>36.74</td>\n",
       "      <td>...</td>\n",
       "      <td>63.16</td>\n",
       "      <td>51.77</td>\n",
       "      <td>52.97</td>\n",
       "      <td>65.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.2740</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.95</td>\n",
       "      <td>75.45</td>\n",
       "      <td>12354.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-04-30</th>\n",
       "      <td>14.2571</td>\n",
       "      <td>60.67</td>\n",
       "      <td>93.00</td>\n",
       "      <td>72.62</td>\n",
       "      <td>26.74</td>\n",
       "      <td>77.79</td>\n",
       "      <td>34.5149</td>\n",
       "      <td>29.9914</td>\n",
       "      <td>218.61</td>\n",
       "      <td>37.87</td>\n",
       "      <td>...</td>\n",
       "      <td>64.31</td>\n",
       "      <td>54.10</td>\n",
       "      <td>53.06</td>\n",
       "      <td>67.13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.5159</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.92</td>\n",
       "      <td>79.38</td>\n",
       "      <td>13062.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-05-31</th>\n",
       "      <td>17.3657</td>\n",
       "      <td>64.98</td>\n",
       "      <td>100.59</td>\n",
       "      <td>78.58</td>\n",
       "      <td>26.92</td>\n",
       "      <td>81.49</td>\n",
       "      <td>34.9688</td>\n",
       "      <td>30.5091</td>\n",
       "      <td>230.82</td>\n",
       "      <td>38.87</td>\n",
       "      <td>...</td>\n",
       "      <td>63.55</td>\n",
       "      <td>54.17</td>\n",
       "      <td>54.77</td>\n",
       "      <td>70.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.4926</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.60</td>\n",
       "      <td>83.17</td>\n",
       "      <td>13627.64</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               AAPL    AXP      BA    CAT   CSCO    CVX      DIS     DWDP  \\\n",
       "Date                                                                        \n",
       "2007-01-31  12.2471  58.22   89.56  64.07  26.59  72.88  34.7024  27.9274   \n",
       "2007-02-28  12.0871  56.87   87.27  64.42  25.94  68.61  33.8045  29.4468   \n",
       "2007-03-30  13.2729  56.40   88.91  67.03  25.53  73.96  33.9722  30.8318   \n",
       "2007-04-30  14.2571  60.67   93.00  72.62  26.74  77.79  34.5149  29.9914   \n",
       "2007-05-31  17.3657  64.98  100.59  78.58  26.92  81.49  34.9688  30.5091   \n",
       "\n",
       "                GS     HD  ...     PG    TRV    UNH    UTX   V       VZ  WBA  \\\n",
       "Date                       ...                                                 \n",
       "2007-01-31  212.16  40.74  ...  64.87  50.85  52.26  68.02 NaN  35.8322  NaN   \n",
       "2007-02-28  201.60  39.60  ...  63.49  50.76  52.20  65.63 NaN  34.8182  NaN   \n",
       "2007-03-30  206.63  36.74  ...  63.16  51.77  52.97  65.00 NaN  35.2740  NaN   \n",
       "2007-04-30  218.61  37.87  ...  64.31  54.10  53.06  67.13 NaN  35.5159  NaN   \n",
       "2007-05-31  230.82  38.87  ...  63.55  54.17  54.77  70.55 NaN  40.4926  NaN   \n",
       "\n",
       "              WMT    XOM      INDU  \n",
       "Date                                \n",
       "2007-01-31  47.69  74.10  12621.69  \n",
       "2007-02-28  48.30  71.68  12268.63  \n",
       "2007-03-30  46.95  75.45  12354.35  \n",
       "2007-04-30  47.92  79.38  13062.91  \n",
       "2007-05-31  47.60  83.17  13627.64  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pedf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-01-31</th>\n",
       "      <td>12.2471</td>\n",
       "      <td>58.22</td>\n",
       "      <td>89.56</td>\n",
       "      <td>64.07</td>\n",
       "      <td>26.59</td>\n",
       "      <td>72.88</td>\n",
       "      <td>34.7024</td>\n",
       "      <td>27.9274</td>\n",
       "      <td>212.16</td>\n",
       "      <td>40.74</td>\n",
       "      <td>...</td>\n",
       "      <td>30.86</td>\n",
       "      <td>12.3513</td>\n",
       "      <td>26.24</td>\n",
       "      <td>64.87</td>\n",
       "      <td>50.85</td>\n",
       "      <td>52.26</td>\n",
       "      <td>68.02</td>\n",
       "      <td>35.8322</td>\n",
       "      <td>47.69</td>\n",
       "      <td>74.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-02-28</th>\n",
       "      <td>12.0871</td>\n",
       "      <td>56.87</td>\n",
       "      <td>87.27</td>\n",
       "      <td>64.42</td>\n",
       "      <td>25.94</td>\n",
       "      <td>68.61</td>\n",
       "      <td>33.8045</td>\n",
       "      <td>29.4468</td>\n",
       "      <td>201.60</td>\n",
       "      <td>39.60</td>\n",
       "      <td>...</td>\n",
       "      <td>28.17</td>\n",
       "      <td>13.0588</td>\n",
       "      <td>24.96</td>\n",
       "      <td>63.49</td>\n",
       "      <td>50.76</td>\n",
       "      <td>52.20</td>\n",
       "      <td>65.63</td>\n",
       "      <td>34.8182</td>\n",
       "      <td>48.30</td>\n",
       "      <td>71.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-03-30</th>\n",
       "      <td>13.2729</td>\n",
       "      <td>56.40</td>\n",
       "      <td>88.91</td>\n",
       "      <td>67.03</td>\n",
       "      <td>25.53</td>\n",
       "      <td>73.96</td>\n",
       "      <td>33.9722</td>\n",
       "      <td>30.8318</td>\n",
       "      <td>206.63</td>\n",
       "      <td>36.74</td>\n",
       "      <td>...</td>\n",
       "      <td>27.87</td>\n",
       "      <td>13.2825</td>\n",
       "      <td>25.26</td>\n",
       "      <td>63.16</td>\n",
       "      <td>51.77</td>\n",
       "      <td>52.97</td>\n",
       "      <td>65.00</td>\n",
       "      <td>35.2740</td>\n",
       "      <td>46.95</td>\n",
       "      <td>75.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-04-30</th>\n",
       "      <td>14.2571</td>\n",
       "      <td>60.67</td>\n",
       "      <td>93.00</td>\n",
       "      <td>72.62</td>\n",
       "      <td>26.74</td>\n",
       "      <td>77.79</td>\n",
       "      <td>34.5149</td>\n",
       "      <td>29.9914</td>\n",
       "      <td>218.61</td>\n",
       "      <td>37.87</td>\n",
       "      <td>...</td>\n",
       "      <td>29.94</td>\n",
       "      <td>13.4650</td>\n",
       "      <td>26.46</td>\n",
       "      <td>64.31</td>\n",
       "      <td>54.10</td>\n",
       "      <td>53.06</td>\n",
       "      <td>67.13</td>\n",
       "      <td>35.5159</td>\n",
       "      <td>47.92</td>\n",
       "      <td>79.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-05-31</th>\n",
       "      <td>17.3657</td>\n",
       "      <td>64.98</td>\n",
       "      <td>100.59</td>\n",
       "      <td>78.58</td>\n",
       "      <td>26.92</td>\n",
       "      <td>81.49</td>\n",
       "      <td>34.9688</td>\n",
       "      <td>30.5091</td>\n",
       "      <td>230.82</td>\n",
       "      <td>38.87</td>\n",
       "      <td>...</td>\n",
       "      <td>30.67</td>\n",
       "      <td>14.1875</td>\n",
       "      <td>27.49</td>\n",
       "      <td>63.55</td>\n",
       "      <td>54.17</td>\n",
       "      <td>54.77</td>\n",
       "      <td>70.55</td>\n",
       "      <td>40.4926</td>\n",
       "      <td>47.60</td>\n",
       "      <td>83.17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               AAPL    AXP      BA    CAT   CSCO    CVX      DIS     DWDP  \\\n",
       "Date                                                                        \n",
       "2007-01-31  12.2471  58.22   89.56  64.07  26.59  72.88  34.7024  27.9274   \n",
       "2007-02-28  12.0871  56.87   87.27  64.42  25.94  68.61  33.8045  29.4468   \n",
       "2007-03-30  13.2729  56.40   88.91  67.03  25.53  73.96  33.9722  30.8318   \n",
       "2007-04-30  14.2571  60.67   93.00  72.62  26.74  77.79  34.5149  29.9914   \n",
       "2007-05-31  17.3657  64.98  100.59  78.58  26.92  81.49  34.9688  30.5091   \n",
       "\n",
       "                GS     HD  ...   MSFT      NKE    PFE     PG    TRV    UNH  \\\n",
       "Date                       ...                                               \n",
       "2007-01-31  212.16  40.74  ...  30.86  12.3513  26.24  64.87  50.85  52.26   \n",
       "2007-02-28  201.60  39.60  ...  28.17  13.0588  24.96  63.49  50.76  52.20   \n",
       "2007-03-30  206.63  36.74  ...  27.87  13.2825  25.26  63.16  51.77  52.97   \n",
       "2007-04-30  218.61  37.87  ...  29.94  13.4650  26.46  64.31  54.10  53.06   \n",
       "2007-05-31  230.82  38.87  ...  30.67  14.1875  27.49  63.55  54.17  54.77   \n",
       "\n",
       "              UTX       VZ    WMT    XOM  \n",
       "Date                                      \n",
       "2007-01-31  68.02  35.8322  47.69  74.10  \n",
       "2007-02-28  65.63  34.8182  48.30  71.68  \n",
       "2007-03-30  65.00  35.2740  46.95  75.45  \n",
       "2007-04-30  67.13  35.5159  47.92  79.38  \n",
       "2007-05-31  70.55  40.4926  47.60  83.17  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countLT144 = pedf.count() < 144\n",
    "cols_with_less_than_144 = pedf.columns[countLT144]\n",
    "pedf = pedf.drop(cols_with_less_than_144,axis=1)\n",
    "pedf = pedf.drop('INDU',axis=1)\n",
    "pedf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "ap = mpf.make_addplot(pedf,type='bar')\n",
    "\n",
    "nulldata = [float('nan')]*len(pedf)\n",
    "d = dict(Open=nulldata,High=nulldata,Low=nulldata,Close=nulldata)\n",
    "\n",
    "df = pd.DataFrame(d,index=pedf.index)\n",
    "\n",
    "#mpf.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-01-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-02-28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-03-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-04-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-05-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Open  High  Low  Close\n",
       "Date                              \n",
       "2007-01-31   NaN   NaN  NaN    NaN\n",
       "2007-02-28   NaN   NaN  NaN    NaN\n",
       "2007-03-30   NaN   NaN  NaN    NaN\n",
       "2007-04-30   NaN   NaN  NaN    NaN\n",
       "2007-05-31   NaN   NaN  NaN    NaN"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dino/code/mplfinance/src/mplfinance/plotting.py:414: RuntimeWarning: All-NaN slice encountered\n",
      "  miny = np.nanmin(_lows)\n",
      "/home/dino/code/mplfinance/src/mplfinance/plotting.py:415: RuntimeWarning: All-NaN slice encountered\n",
      "  maxy = np.nanmax(_highs)\n",
      "/home/dino/code/mplfinance/src/mplfinance/plotting.py:516: RuntimeWarning: All-NaN slice encountered\n",
      "  lo = math.log(max(math.fabs(np.nanmin(lows)),1e-7),10) - 0.5\n",
      "/home/dino/code/mplfinance/src/mplfinance/plotting.py:517: RuntimeWarning: All-NaN slice encountered\n",
      "  hi = math.log(max(math.fabs(np.nanmax(highs)),1e-7),10) + 0.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df,addplot=ap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(144, 28)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pedf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "pedf = pedf.loc['1/1/2011':'12/31/2015',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60, 28)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
       "      <th>CVX</th>\n",
       "      <th>DIS</th>\n",
       "      <th>DWDP</th>\n",
       "      <th>GS</th>\n",
       "      <th>HD</th>\n",
       "      <th>...</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>NKE</th>\n",
       "      <th>PFE</th>\n",
       "      <th>PG</th>\n",
       "      <th>TRV</th>\n",
       "      <th>UNH</th>\n",
       "      <th>UTX</th>\n",
       "      <th>VZ</th>\n",
       "      <th>WMT</th>\n",
       "      <th>XOM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-31</th>\n",
       "      <td>48.4743</td>\n",
       "      <td>43.38</td>\n",
       "      <td>69.48</td>\n",
       "      <td>97.01</td>\n",
       "      <td>21.15</td>\n",
       "      <td>94.93</td>\n",
       "      <td>38.87</td>\n",
       "      <td>23.8533</td>\n",
       "      <td>163.62</td>\n",
       "      <td>36.77</td>\n",
       "      <td>...</td>\n",
       "      <td>27.725</td>\n",
       "      <td>20.6200</td>\n",
       "      <td>18.22</td>\n",
       "      <td>63.13</td>\n",
       "      <td>56.26</td>\n",
       "      <td>41.05</td>\n",
       "      <td>81.30</td>\n",
       "      <td>35.62</td>\n",
       "      <td>56.07</td>\n",
       "      <td>80.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-28</th>\n",
       "      <td>50.4586</td>\n",
       "      <td>43.57</td>\n",
       "      <td>72.01</td>\n",
       "      <td>102.93</td>\n",
       "      <td>18.56</td>\n",
       "      <td>103.75</td>\n",
       "      <td>43.74</td>\n",
       "      <td>24.9827</td>\n",
       "      <td>163.78</td>\n",
       "      <td>37.47</td>\n",
       "      <td>...</td>\n",
       "      <td>26.580</td>\n",
       "      <td>22.2575</td>\n",
       "      <td>19.24</td>\n",
       "      <td>63.05</td>\n",
       "      <td>59.93</td>\n",
       "      <td>42.58</td>\n",
       "      <td>83.54</td>\n",
       "      <td>36.92</td>\n",
       "      <td>51.98</td>\n",
       "      <td>85.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-31</th>\n",
       "      <td>49.7786</td>\n",
       "      <td>45.20</td>\n",
       "      <td>73.93</td>\n",
       "      <td>111.35</td>\n",
       "      <td>17.15</td>\n",
       "      <td>107.43</td>\n",
       "      <td>43.09</td>\n",
       "      <td>25.3794</td>\n",
       "      <td>158.47</td>\n",
       "      <td>37.06</td>\n",
       "      <td>...</td>\n",
       "      <td>25.360</td>\n",
       "      <td>18.9250</td>\n",
       "      <td>20.31</td>\n",
       "      <td>61.60</td>\n",
       "      <td>59.48</td>\n",
       "      <td>45.20</td>\n",
       "      <td>84.65</td>\n",
       "      <td>38.54</td>\n",
       "      <td>52.05</td>\n",
       "      <td>84.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-29</th>\n",
       "      <td>49.7471</td>\n",
       "      <td>49.08</td>\n",
       "      <td>79.78</td>\n",
       "      <td>115.41</td>\n",
       "      <td>17.56</td>\n",
       "      <td>109.44</td>\n",
       "      <td>43.10</td>\n",
       "      <td>27.5577</td>\n",
       "      <td>151.01</td>\n",
       "      <td>37.14</td>\n",
       "      <td>...</td>\n",
       "      <td>26.020</td>\n",
       "      <td>20.5800</td>\n",
       "      <td>20.96</td>\n",
       "      <td>64.90</td>\n",
       "      <td>63.28</td>\n",
       "      <td>49.23</td>\n",
       "      <td>89.58</td>\n",
       "      <td>37.78</td>\n",
       "      <td>54.98</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-31</th>\n",
       "      <td>49.6900</td>\n",
       "      <td>51.60</td>\n",
       "      <td>78.03</td>\n",
       "      <td>105.80</td>\n",
       "      <td>16.80</td>\n",
       "      <td>104.91</td>\n",
       "      <td>41.63</td>\n",
       "      <td>24.2903</td>\n",
       "      <td>140.73</td>\n",
       "      <td>36.28</td>\n",
       "      <td>...</td>\n",
       "      <td>25.010</td>\n",
       "      <td>21.1125</td>\n",
       "      <td>21.45</td>\n",
       "      <td>67.00</td>\n",
       "      <td>62.08</td>\n",
       "      <td>48.95</td>\n",
       "      <td>87.77</td>\n",
       "      <td>36.93</td>\n",
       "      <td>55.22</td>\n",
       "      <td>83.47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               AAPL    AXP     BA     CAT   CSCO     CVX    DIS     DWDP  \\\n",
       "Date                                                                       \n",
       "2011-01-31  48.4743  43.38  69.48   97.01  21.15   94.93  38.87  23.8533   \n",
       "2011-02-28  50.4586  43.57  72.01  102.93  18.56  103.75  43.74  24.9827   \n",
       "2011-03-31  49.7786  45.20  73.93  111.35  17.15  107.43  43.09  25.3794   \n",
       "2011-04-29  49.7471  49.08  79.78  115.41  17.56  109.44  43.10  27.5577   \n",
       "2011-05-31  49.6900  51.60  78.03  105.80  16.80  104.91  41.63  24.2903   \n",
       "\n",
       "                GS     HD  ...    MSFT      NKE    PFE     PG    TRV    UNH  \\\n",
       "Date                       ...                                                \n",
       "2011-01-31  163.62  36.77  ...  27.725  20.6200  18.22  63.13  56.26  41.05   \n",
       "2011-02-28  163.78  37.47  ...  26.580  22.2575  19.24  63.05  59.93  42.58   \n",
       "2011-03-31  158.47  37.06  ...  25.360  18.9250  20.31  61.60  59.48  45.20   \n",
       "2011-04-29  151.01  37.14  ...  26.020  20.5800  20.96  64.90  63.28  49.23   \n",
       "2011-05-31  140.73  36.28  ...  25.010  21.1125  21.45  67.00  62.08  48.95   \n",
       "\n",
       "              UTX     VZ    WMT    XOM  \n",
       "Date                                    \n",
       "2011-01-31  81.30  35.62  56.07  80.68  \n",
       "2011-02-28  83.54  36.92  51.98  85.53  \n",
       "2011-03-31  84.65  38.54  52.05  84.13  \n",
       "2011-04-29  89.58  37.78  54.98  88.00  \n",
       "2011-05-31  87.77  36.93  55.22  83.47  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
       "      <th>CVX</th>\n",
       "      <th>DIS</th>\n",
       "      <th>DWDP</th>\n",
       "      <th>GS</th>\n",
       "      <th>HD</th>\n",
       "      <th>...</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>NKE</th>\n",
       "      <th>PFE</th>\n",
       "      <th>PG</th>\n",
       "      <th>TRV</th>\n",
       "      <th>UNH</th>\n",
       "      <th>UTX</th>\n",
       "      <th>VZ</th>\n",
       "      <th>WMT</th>\n",
       "      <th>XOM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-08-31</th>\n",
       "      <td>112.76</td>\n",
       "      <td>76.72</td>\n",
       "      <td>130.68</td>\n",
       "      <td>76.44</td>\n",
       "      <td>25.880</td>\n",
       "      <td>80.99</td>\n",
       "      <td>101.88</td>\n",
       "      <td>29.4199</td>\n",
       "      <td>188.60</td>\n",
       "      <td>116.46</td>\n",
       "      <td>...</td>\n",
       "      <td>43.52</td>\n",
       "      <td>55.875</td>\n",
       "      <td>32.22</td>\n",
       "      <td>70.67</td>\n",
       "      <td>99.55</td>\n",
       "      <td>115.70</td>\n",
       "      <td>91.61</td>\n",
       "      <td>46.01</td>\n",
       "      <td>64.73</td>\n",
       "      <td>75.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>110.30</td>\n",
       "      <td>74.13</td>\n",
       "      <td>130.95</td>\n",
       "      <td>65.36</td>\n",
       "      <td>26.250</td>\n",
       "      <td>78.88</td>\n",
       "      <td>102.20</td>\n",
       "      <td>28.5056</td>\n",
       "      <td>173.76</td>\n",
       "      <td>115.49</td>\n",
       "      <td>...</td>\n",
       "      <td>44.26</td>\n",
       "      <td>61.485</td>\n",
       "      <td>31.41</td>\n",
       "      <td>71.94</td>\n",
       "      <td>99.53</td>\n",
       "      <td>116.01</td>\n",
       "      <td>88.99</td>\n",
       "      <td>43.51</td>\n",
       "      <td>64.84</td>\n",
       "      <td>74.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-30</th>\n",
       "      <td>119.50</td>\n",
       "      <td>73.26</td>\n",
       "      <td>148.07</td>\n",
       "      <td>72.99</td>\n",
       "      <td>28.850</td>\n",
       "      <td>90.88</td>\n",
       "      <td>113.74</td>\n",
       "      <td>34.7378</td>\n",
       "      <td>187.50</td>\n",
       "      <td>123.64</td>\n",
       "      <td>...</td>\n",
       "      <td>52.64</td>\n",
       "      <td>65.515</td>\n",
       "      <td>33.82</td>\n",
       "      <td>76.38</td>\n",
       "      <td>112.89</td>\n",
       "      <td>117.78</td>\n",
       "      <td>98.41</td>\n",
       "      <td>46.88</td>\n",
       "      <td>57.24</td>\n",
       "      <td>82.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-30</th>\n",
       "      <td>118.30</td>\n",
       "      <td>71.64</td>\n",
       "      <td>145.45</td>\n",
       "      <td>72.65</td>\n",
       "      <td>27.250</td>\n",
       "      <td>91.32</td>\n",
       "      <td>113.47</td>\n",
       "      <td>35.0471</td>\n",
       "      <td>190.02</td>\n",
       "      <td>133.88</td>\n",
       "      <td>...</td>\n",
       "      <td>54.35</td>\n",
       "      <td>66.140</td>\n",
       "      <td>32.77</td>\n",
       "      <td>74.84</td>\n",
       "      <td>114.57</td>\n",
       "      <td>112.71</td>\n",
       "      <td>96.05</td>\n",
       "      <td>45.45</td>\n",
       "      <td>58.84</td>\n",
       "      <td>81.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>105.26</td>\n",
       "      <td>69.55</td>\n",
       "      <td>144.59</td>\n",
       "      <td>67.96</td>\n",
       "      <td>27.155</td>\n",
       "      <td>89.96</td>\n",
       "      <td>105.08</td>\n",
       "      <td>34.6101</td>\n",
       "      <td>180.23</td>\n",
       "      <td>132.25</td>\n",
       "      <td>...</td>\n",
       "      <td>55.48</td>\n",
       "      <td>62.500</td>\n",
       "      <td>32.28</td>\n",
       "      <td>79.41</td>\n",
       "      <td>112.86</td>\n",
       "      <td>117.64</td>\n",
       "      <td>96.07</td>\n",
       "      <td>46.22</td>\n",
       "      <td>61.30</td>\n",
       "      <td>77.95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL    AXP      BA    CAT    CSCO    CVX     DIS     DWDP  \\\n",
       "Date                                                                       \n",
       "2015-08-31  112.76  76.72  130.68  76.44  25.880  80.99  101.88  29.4199   \n",
       "2015-09-30  110.30  74.13  130.95  65.36  26.250  78.88  102.20  28.5056   \n",
       "2015-10-30  119.50  73.26  148.07  72.99  28.850  90.88  113.74  34.7378   \n",
       "2015-11-30  118.30  71.64  145.45  72.65  27.250  91.32  113.47  35.0471   \n",
       "2015-12-31  105.26  69.55  144.59  67.96  27.155  89.96  105.08  34.6101   \n",
       "\n",
       "                GS      HD  ...   MSFT     NKE    PFE     PG     TRV     UNH  \\\n",
       "Date                        ...                                                \n",
       "2015-08-31  188.60  116.46  ...  43.52  55.875  32.22  70.67   99.55  115.70   \n",
       "2015-09-30  173.76  115.49  ...  44.26  61.485  31.41  71.94   99.53  116.01   \n",
       "2015-10-30  187.50  123.64  ...  52.64  65.515  33.82  76.38  112.89  117.78   \n",
       "2015-11-30  190.02  133.88  ...  54.35  66.140  32.77  74.84  114.57  112.71   \n",
       "2015-12-31  180.23  132.25  ...  55.48  62.500  32.28  79.41  112.86  117.64   \n",
       "\n",
       "              UTX     VZ    WMT    XOM  \n",
       "Date                                    \n",
       "2015-08-31  91.61  46.01  64.73  75.24  \n",
       "2015-09-30  88.99  43.51  64.84  74.35  \n",
       "2015-10-30  98.41  46.88  57.24  82.74  \n",
       "2015-11-30  96.05  45.45  58.84  81.66  \n",
       "2015-12-31  96.07  46.22  61.30  77.95  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pedf.shape\n",
    "pedf.head()\n",
    "pedf.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "pedf = pedf.iloc[:,0:8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(60, 8)\n",
      "               AAPL    AXP     BA     CAT   CSCO     CVX    DIS     DWDP\n",
      "Date                                                                    \n",
      "2011-01-31  48.4743  43.38  69.48   97.01  21.15   94.93  38.87  23.8533\n",
      "2011-02-28  50.4586  43.57  72.01  102.93  18.56  103.75  43.74  24.9827\n",
      "2011-03-31  49.7786  45.20  73.93  111.35  17.15  107.43  43.09  25.3794\n",
      "              AAPL    AXP      BA    CAT    CSCO    CVX     DIS     DWDP\n",
      "Date                                                                    \n",
      "2015-11-30  118.30  71.64  145.45  72.65  27.250  91.32  113.47  35.0471\n",
      "2015-12-31  105.26  69.55  144.59  67.96  27.155  89.96  105.08  34.6101\n"
     ]
    }
   ],
   "source": [
    "print(pedf.shape)\n",
    "print(pedf.head(3))\n",
    "print(pedf.tail(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['binance',\n",
       " 'blueskies',\n",
       " 'brasil',\n",
       " 'charles',\n",
       " 'checkers',\n",
       " 'classic',\n",
       " 'default',\n",
       " 'kenan',\n",
       " 'mike',\n",
       " 'nightclouds',\n",
       " 'sas',\n",
       " 'starsandstripes',\n",
       " 'yahoo']"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpf.available_styles()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ap = mpf.make_addplot(pedf.iloc[:,0:8],secondary_y=False)\n",
    "\n",
    "nulldata = [float('nan')]*len(pedf)\n",
    "#nulldata = [20.]*len(pedf)\n",
    "nulldata[0] = pedf.iloc[0,0]\n",
    "d = dict(Open=nulldata,High=nulldata,Low=nulldata,Close=nulldata)\n",
    "\n",
    "df = pd.DataFrame(d,index=pedf.index)\n",
    "\n",
    "mpf.plot(df,addplot=ap,ylabel='PE Ratio',style='blueskies')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.style.context('default'):\n",
    "    pedf.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
